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TRMP: a database of therapeutically relevant multiple pathways.

C J Zheng1, H Zhou, B Xie

  • 1Department of Computational Science, National University of Singapore, Blk S17, Level 7, 3 Science Drive 2, Singapore 117543.

Bioinformatics (Oxford, England)
|April 3, 2004
PubMed
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A new database, Therapeutically Relevant Multiple Pathways (TRMPs), aids drug discovery by detailing protein interactions in disease pathways. It links multiple targets, drugs, and diseases for better mechanistic studies.

Area of Science:

  • Biochemistry and Molecular Biology
  • Pharmacology and Drug Discovery
  • Computational Biology and Bioinformatics

Background:

  • Complex diseases involve protein crosstalk across multiple biological pathways.
  • Targeting individual proteins has limitations; combination therapies and synergistic targeting are increasingly explored.
  • Understanding these interactions is crucial for mechanistic drug action studies and identifying novel therapeutic strategies.

Purpose of the Study:

  • To develop a comprehensive database of Therapeutically Relevant Multiple Pathways (TRMPs).
  • To facilitate the study of drug actions and the relationships between different disease targets.
  • To provide information on non-target proteins and small molecules for new target identification.

Main Methods:

Related Experiment Videos

  • Curated information on multiple pathways, individual pathways, therapeutic targets, and associated drugs/ligands.
  • Inclusion of targeted disease conditions and structural/functional protein information.
  • Integration of cross-links to external databases for enhanced data accessibility.
  • Main Results:

    • The TRMPs database currently contains 11 multiple pathways, 97 individual pathways, and 120 targets for 72 diseases.
    • 120 sets of drugs targeting these specific targets are documented.
    • Data is retrievable by multiple pathway name, individual pathway name, or disease name.

    Conclusions:

    • The TRMPs database serves as a valuable resource for researchers studying complex diseases and combination therapies.
    • It enhances understanding of drug mechanisms and target interactions.
    • Facilitates drug discovery by providing integrated information on pathways, targets, and small molecules.